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Niche senior AI-security role with 8+ years reduces qualified candidate density.
Highly specialized AI and application security skills limit transferability across unrelated industries.
Explicit 8+ years and mandatory AI/AppSec expertise with many technical requirements creates high shortlisting strictness.
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Lead development and execution of the enterprise AI Security Program, including policies, standards, and risk frameworks for AI-enabled applications and architectures.
Conduct AI security reviews such as threat modeling, security testing, and compliance alignment for AI systems, agents, APIs, and cloud services.
Support and back up Senior Application Security Specialist in application security reviews, vulnerability management, secure SDLC, and educating stakeholders on AI and Application Security practices.
8+ years of cybersecurity engineering experience with significant Application Security experience.
Recent hands-on experience securing generative AI, LLM-based systems, AI agents, or AI-enabled SaaS/internal AI apps.
Strong knowledge of secure application/API design, IAM, cloud security (Azure preferred), SaaS security, software supply chain risk, and vulnerability management.
Work Experience Required: 8+ years cybersecurity engineering; Location: Based in Delhi NCR region with hybrid work model.
Experienced in hands-on AI security engineering with skills in AI threat modeling, RAG/MCP security, and AI governance frameworks like NIST AI RMF.
Able to translate AI and application security risks into enforceable controls, standards, and practical guidance for engineering teams and stakeholders.
Comfortable operating at the intersection of AI security and application security in a leadership/breadth role supporting program-building and risk management in a complex enterprise environment.